{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/66667b98b6f3d900124fe6a1/6a5f6131f491b820dbef26d7?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"What Is an AI-Native Law Firm? John Nay on Norm AI and Norm Law","description":"<p>What is an AI-native law firm?</p><p>In this episode, Jen Leonard and Bridget McCormack are joined by John Nay, founder and CEO of Norm AI and Norm Law, for a conversation about agentic law, AI-native legal services, and what it means to build legal work around agents rather than copilots.</p><p>John explains how legal and regulatory reasoning can be embedded into AI agents, allowing them to perform first-pass work, learn from prior matters, and create compounding value over time. The conversation also explores how Norm Law combines attorneys, legal engineers, software engineers, and AI engineers; why client-specific knowledge can become persistent; and how outcome-based pricing may change the business model of legal services.</p><p>The episode also examines client trust, human supervision, experienced legal talent, and the Legal AGI Lab’s research into how AI agents may be evaluated, benchmarked, and governed by law.</p><p>Learn more about the Legal AGI Lab: <a href=\"https://lab.norm.ai\" rel=\"noopener noreferrer\" target=\"_blank\">https://lab.norm.ai</a></p><p>In this episode:</p><ul><li>What agentic law means</li><li>How AI agents differ from copilots</li><li>What an AI-native law firm looks like</li><li>The role of legal engineers and AI engineers</li><li>Outcome-based pricing and client trust</li><li>Human supervision in AI-native legal work</li><li>Legal AGI and the governance of AI agents</li></ul>","author_name":"Practising Law Institute"}